Investigating the Impact of a Measurement Program on Software Quality. Sahraoui, H., Briand, L. C., Guéhéneuc, Y., & Beaurepaire, O. Information and Software Technology (IST), 52(9):923–933, Elsevier, September, 2010. 10 pages.Paper abstract bibtex Measurement programs have been around for several decades but have been often misused or misunderstood by managers and developers. This misunderstanding prevented their adoption despite their many advantages. In this paper, we present the results of an empirical study on the impact of a measurement program, MQL, in an industrial context. We analyzed data collected on 44 systems of different sizes: 22 systems were developed using MQL while the other 22 did not use a specific measurement program (control group). We studied the impact of MQL on a set of quality indicators. Our results show that MQL had a clearly positive impact on all the studied indicators. This impact is statistically significant for all the indicators but corrective maintenance effort. We therefore bring concrete evidence that a measurement program can have a significant, positive impact on the quality of software systems if combined with appropriate decision making procedures and corrective actions.
@ARTICLE{Sahraoui10-IST-ImpactMeasurementProgram,
author = {Houari Sahraoui and Lionel C. Briand and Yann-Ga{\"e}l Gu{\'e}h{\'e}neuc and Olivier Beaurepaire},
title = {Investigating the Impact of a Measurement Program on Software Quality},
journal = {Information and Software Technology ({IST})},
year = {2010},
month = {September},
volume = {52},
number = {9},
pages = {923--933},
note = {10 pages.},
abstract = {Measurement programs have been around for several decades but have been often misused or misunderstood by managers and developers. This misunderstanding prevented their adoption despite their many advantages. In this paper, we present the results of an empirical study on the impact of a measurement program, MQL, in an industrial context. We analyzed data collected on 44 systems of different sizes: 22 systems were developed using MQL while the other 22 did not use a specific measurement program (control group). We studied the impact of MQL on a set of quality indicators. Our results show that MQL had a clearly positive impact on all the studied indicators. This impact is statistically significant for all the indicators but corrective maintenance effort. We therefore bring concrete evidence that a measurement program can have a significant, positive impact on the quality of software systems if combined with appropriate decision making procedures and corrective actions.},
editor = {Claes Wohlin},
grant = {NSERC DG and Project MOVER},
keywords = {Quality models ; IST},
kind = {RIAS},
language = {english},
publisher = {Elsevier},
url = {http://www.ptidej.net/publications/documents/IST10.doc.pdf},
issue = {9},
page = {923--933}
}
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